基于三维荧光光谱和二维荧光相关光谱, 对茶汤中两种拟除虫菊酯农药进行了识别。利用图像局部极值算法, 分别提取出三维荧光光谱图和二维相关光谱图中的峰、谷位置信息, 然后进行峰位匹配实现茶汤中农药组分的智能识别。结果表明, 三维荧光光谱图受到荧光峰重叠的影响, 不能对氰戊菊酯进行有效匹配。而利用二维相关光谱不仅可以克服这一缺点, 而且不受混合物中农药组分浓度的影响。基于二维荧光相关光谱, 对实际茶汤中氰戊菊酯和顺式氯氰菊酯进行了识别, 识别率分别为80%和83%。

Three-dimensional fluorescence spectroscopy and two-dimensional fluorescence correlation spectroscopy were applied for identification of two kinds of pyrethriod pesticide in tea liquor. Based on the local minima of image algorithm, the location of peaks in three-dimensional fluorescence spectrum or two-dimensional fluorescence correlation spectrum was obtained, which made the identifucation of the two pesticide in tea liquor be realized by peak point matching. The results show that it is not suitable to identify the pesticides through three-dimensional fluorescence spectrum for the peaks overlap. However, two-dimensional fluorescence correlation spectroscopy can overcome the shortcoming and identify the pesticide in its mixture no matter how much the concentration of the pesticide is. In the actual tea liquor, identification rate of fenvalerate is 80% and identification rate of alphacypermethrin is 83%, which illustrates 2D fluorescence correlation spectroscopy is an effective identification of the two pyrethriod pesticide (fenvalerate, alphacypermethrin) in their mixture.